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DBMS > Grakn vs. LevelDB vs. Microsoft Azure Search vs. Redis

System Properties Comparison Grakn vs. LevelDB vs. Microsoft Azure Search vs. Redis

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app developmentIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Key-value storeSearch engineKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score2.80
Rank#87  Overall
#15  Key-value stores
Score6.22
Rank#55  Overall
#6  Search engines
Score144.81
Rank#8  Overall
#1  Key-value stores
Websitegrakn.aigithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­searchredis.io
Technical documentationdev.grakn.ai/­docsgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­en-us/­azure/­searchredis.io/­documentation
DeveloperGrakn LabsGoogleMicrosoftSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release2016201120152009
Current release1.6.2, January 20201.22, May 2019V15.0.8, March 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoBSDcommercialOpen Source infoBSD 3-Clause, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyesyes infowith RediSearch module
SQL infoSupport of SQLnononono
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
RESTful HTTP APIproprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnononoLua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandranoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandranoneyes infoImplicit feature of the cloud serviceMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressnoyes infousing Azure authenticationSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
GraknLevelDBMicrosoft Azure SearchRedis
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
News

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

Unsolved Machine Learning Problems That You Can Solve
9 July 2019

Drug Discovery Knowledge Graphs
7 June 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraknLevelDBMicrosoft Azure SearchRedis
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